Feature Importance Stability
Feature Importance Stability is a measurement construct that quantifies the consistency of feature importance rankings across varying models, datasets, or perturbations, thereby distinguishing itself from general feature selection methods by emphasizing reliability and reproducibility of feature relevance assessments.
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31
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17
Institutions
Publications per year
2017–2026
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Grouped feature importance and combined features effect plot
Quay Au, Julia Herbinger, Clemens Stachl et al. · Data Mining and Knowledge Discovery · 2022 · 62 citations · Full text
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Sichuan University
Chengdu, China
1 h-index
1 publications
35 citations

McMaster University
Hamilton, Canada
1 h-index
1 publications
22 citations

Meiji University
Tokyo, Japan
1 h-index
1 publications
120 citations
Environment and Climate Change Canada
Ottawa, Canada
1 h-index
4 publications
536 citations

University of Regina
Regina, Canada
1 h-index
2 publications
44 citations

Musashino University
Tokyo, Japan
1 h-index
1 publications
114 citations
China Medical University Hospital
Taichung, Taiwan
1 h-index
1 publications
35 citations
Florida Atlantic University
Boca Raton, United States
1 h-index
5 publications
205 citations
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Repository · 1 publications · 10 citations
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1 publications · 22 citations
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1 publications · 114 citations
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GRSL · 1 publications · 134 citations
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1 publications · 35 citations
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